zhizhunbao

Complete software development lifecycle from requirements to deployment. Use when (1) starting a new project from scratch, (2) need structured end-to-end development process, (3) require comprehensive documentation and quality gates at each phase.

专业的AI Agent(AI Agents)顾问助手，探索 AI Agent 框架和应用。当用户询问以下问题时使用：(1) 技术选型和对比 (2) 使用指南和最佳实践 (3) 问题诊断和解决 (4) 资源推荐 (5) 常见问题解答

Comprehensive CV learning assistant. Use when studying image processing, object detection, segmentation, or any CV tasks. Helps with algorithm understanding, implementation, and model optimization.

Comprehensive DL learning assistant. Use when studying neural networks, CNN, RNN, LSTM, Transformer, or any DL architectures. Helps with network design, training strategies, debugging, and optimization techniques.

Comprehensive LLM learning assistant. Use when studying transformer architecture, attention mechanisms, pre-training, fine-tuning, or prompt engineering. Helps with understanding LLM principles and practical applications.

Comprehensive ML learning assistant. Use when studying supervised learning, unsupervised learning, regression, classification, clustering, or any ML concepts. Helps with algorithm understanding, implementation guidance, model evaluation, and practical applications.

Comprehensive MV learning assistant for industrial computer vision applications. Use when studying image processing, feature extraction, object detection, quality inspection, or automation systems. Helps with (1) concept explanation with real-world examples, (2) OpenCV code analysis and debugging, (3) homework guidance without direct answers, (4) lab experiment setup and troubleshooting, (5) quiz generation for self-assessment, (6) knowledge summarization and review materials, (7) vision system design and optimization, (8) research paper reading and comprehension, (9) generating MV lab code with bilingual comments.

NLP course learning assistant. Use when (1) doing NLP labs/assignments, (2) understanding NLP concepts (tokenization, embeddings, transformers), (3) implementing NLP algorithms, (4) debugging NLP code, (5) preparing for NLP exams.

Orchestrates the full pipeline of finding, analyzing, and extracting reusable modules from open-source GitHub repositories. 6 phases: demand → search → analyze → depgraph → extract → market. Each phase backed by a dedicated skill with its own methodology. Triggers: 开源复用, 模块提取, repo分析, 代码移植, 找开源库, github筛选, 依赖图

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

金融数据智能检索。根据用户的自然语言描述，自动识别需要的数据接口， 查阅 API 文档，构造请求并返回数据。覆盖股票、指数、期货、债券、 基金、宏观经济等 15 大类 209 个接口。 触发词：查行情、看股票、财务数据、基金净值、期货行情、宏观数据、 涨停股、龙虎榜、资金流向、利率、CPI、GDP、可转债、ETF、港股、美股。

Tools for building modern React webapps with TypeScript, Tailwind CSS and shadcn/ui. Best suited for applications with complex UI components and state management.

交易分析助手，基于多角色辩论方法论的系统性投资分析。通过市场技术分析、 基本面分析、新闻情绪分析、多空辩论、交易决策和三方风险评估， 输出 BUY/SELL/HOLD 建议。 触发词：交易分析、投资分析、股票分析、买卖决策、多空分析、 风险评估、技术分析、基本面分析、投资建议、买入卖出、 持有建议、投资决策、交易建议、股票推荐、该不该买、能不能卖、 要不要持有、看好看空、仓位建议、加仓减仓、是否加仓、 是否减仓、投资价值、值不值得买、能不能入手、抄底、 完整分析、深度分析、进行.*分析、分析.*投资、 trading analysis、investment decision、buy sell hold。

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

PPTX to Markdown 转换。Use when (1) 将 .pptx 转换为 .md, (2) 提取 PPT 内容和截图, (3) 需求文档/修改事项 PPTX 解析, (4) 包含标注截图的 PPTX 处理, (5) 批量转换演示文稿

专业的AI Agent(AI Agents)顾问助手，探索 AI Agent 框架和应用。当用户询问以下问题时使用：(1) 技术选型和对比 (2) 使用指南和最佳实践 (3) 问题诊断和解决 (4) 资源推荐 (5) 常见问题解答

Comprehensive CV learning assistant. Use when studying image processing, object detection, segmentation, or any CV tasks. Helps with algorithm understanding, implementation, and model optimization.

Comprehensive DL learning assistant. Use when studying neural networks, CNN, RNN, LSTM, Transformer, or any DL architectures. Helps with network design, training strategies, debugging, and optimization techniques.

Comprehensive LLM learning assistant. Use when studying transformer architecture, attention mechanisms, pre-training, fine-tuning, or prompt engineering. Helps with understanding LLM principles and practical applications.

Comprehensive ML learning assistant. Use when studying supervised learning, unsupervised learning, regression, classification, clustering, or any ML concepts. Helps with algorithm understanding, implementation guidance, model evaluation, and practical applications.

Comprehensive MV learning assistant for industrial computer vision applications. Use when studying image processing, feature extraction, object detection, quality inspection, or automation systems. Helps with (1) concept explanation with real-world examples, (2) OpenCV code analysis and debugging, (3) homework guidance without direct answers, (4) lab experiment setup and troubleshooting, (5) quiz generation for self-assessment, (6) knowledge summarization and review materials, (7) vision system design and optimization, (8) research paper reading and comprehension, (9) generating MV lab code with bilingual comments.

NLP course learning assistant. Use when (1) doing NLP labs/assignments, (2) understanding NLP concepts (tokenization, embeddings, transformers), (3) implementing NLP algorithms, (4) debugging NLP code, (5) preparing for NLP exams.

Best practices for Remotion - Video creation in React. Use when (1) writing Remotion components or compositions, (2) animating with interpolate/spring, (3) building programmatic video pipelines, (4) adding audio/video/images to compositions, (5) working with transitions, sequences, or captions, (6) user mentions "remotion" or "programmatic video".

English code comment standards for Python and TypeScript. Use when (1) adding comments to code, (2) standardizing comment format, (3) inline comment placement, (4) section dividers

Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.

Unified document builder: create, convert, and process documents across all formats (MD ↔ DOCX ↔ PDF). Use when (1) creating formatted reports/proposals with python-docx, (2) converting MD→DOCX or DOCX→MD, (3) processing PDFs (extract/split/merge/OCR), (4) creating assignment submission documents, (5) mentions '文档生成' or 'document builder'.

Phase review gate for development workflow. Use when completing any /dev phase, validating outputs before moving on, or generating a phase review report.

Python frontend skill for this repository. Use when working on Streamlit, Gradio, or NiceGUI interfaces, Python-driven UI state, layout, styling, interaction flows, frontend bug fixes, or frontend-focused reviews in this project.

This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Use for Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

English code comment standards for Python and TypeScript. Use when (1) adding comments to code, (2) standardizing comment format, (3) TypeScript/TSX file header comments, (4) Python module docstrings

Phase review gate for development workflow. Use when (1) completing any phase in /dev start, (2) validating phase outputs before moving to next phase, (3) running quality checks on documents, code, tests, or deployment configs.

UI/UX design skill for creating modern, premium interfaces. Use when (1) designing new pages or components, (2) creating design systems or tokens, (3) choosing colors/typography/spacing, (4) planning user flows or wireframes, (5) improving interaction design or accessibility. Keywords — "design", "UI", "UX", "prototype", "wireframe", "color palette", "layout", "responsive", "accessibility", "设计", "界面", "交互"